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论文类型：会议论文

发表时间：2015-07-08

收录刊物：EI、CPCI-S、Scopus

页面范围：94-100

关键字：multi-node charging; docking spot selection; large-scale wireless sensor network

摘要：Recently, wireless energy transfer technologies have emerged as a promising approach to address the power constraint problem in Wireless Sensor Networks(WSNs). In this paper, we propose an optimized algorithm, Multi-node Renewable based on Charging Range (MRCR), for large-scale WSNs, where multiple sensor nodes are charging simultaneously. A mobile charging vehicle (MCV) is responsible for energy supplement of these nodes group by group at specified docking spots. These spots are selected based on charging range of a MCV, which can not only maximum the charging coverage, but also improve the energy efficiency as the minimum number of stops and the shortest travel path. We organize MCV schedule into rounds and each round is divided into slots: judgment, charging and rest. Then, we provide the objective output to maximize the network lifetime and the computation complexity of our MRCR algorithm. Finally, extensive experimental results show MRCR algorithm can guarantee a short TSP length in every round and all sensor nodes live immorally.